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Visual Attention Distribution of Pilot Flying <italic>vs.</italic> Pilot Monitoring During Different Flight Phases.
- Source :
-
International Journal of Human-Computer Interaction . Sep2024, p1-20. 20p. 9 Illustrations. - Publication Year :
- 2024
-
Abstract
- AbstractWith the continuous maturation of technology and the deepening of human-centered design philosophy, eye tracking technology has gradually been applied in research studies for the optimization of flight deck design in commercial aviation. While these studies have focused solely on Pilot Flying (PF), without considering the visual attention distribution of Pilot Monitoring (PM). The purpose of this study was to analyze and compare the visual attention distribution of PF and PM during different flight phases, providing more comprehensive guidance and optimization suggestion to the flight deck design in commercial aviation. This study was conducted in the A320 full-motion flight simulator, with eye tracking technology recording eye movements of PF and PM in the same flight crew simultaneously. The result showed significant differences in three eye movement metrics between PF and PM, not only throughout the whole common manual circuit but also within specific flight phases. Additionally, the results indicated that in certain flight phases, PF and PM exhibited statistically significant correlations in certain eye movement metrics for specific areas of the flight deck. However, in most other instances, no statistically significant correlations were observed between the eye movement metrics of PF and PM. Therefore, the future design of flight decks may benefit from considering differentiation between PF and PM sides in certain flight phases or areas. Additionally, it can be beneficial to make dynamic adjustments to the current flight deck display and control interface while maintaining the existing layout design. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10447318
- Database :
- Academic Search Index
- Journal :
- International Journal of Human-Computer Interaction
- Publication Type :
- Academic Journal
- Accession number :
- 179409695
- Full Text :
- https://doi.org/10.1080/10447318.2024.2380949